Face animation parameters extraction and tracking - Details

Author：

Wang, Ke (Wang, Ke.) | Yin, Baocai (Yin, Baocai.) (Scholars：尹宝才) | Ma, Shuyan (Ma, Shuyan.) | Guo, Jintong (Guo, Jintong.)

Indexed by：

EI Scopus

Abstract：

In　this　paper,　a　new　method　combining　CANDIDE　model　with　FAPs　space　parameters　is　proposed　to　track　face　features　and　extract　face　animation　parameters.　We　directly　train　the　relationship　of　face　animation　parameters　and　different　face　images.　The　experimental　results　show　face　animation　parameters　extraction　and　face　tracking　are　accurate.

Keyword：

Animation Optimization Feature extraction Image reconstruction

Author Community：

[ 1 ] [Wang, Ke]Multimedia and Intelligent Software Technology Laboratory, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Yin, Baocai]Multimedia and Intelligent Software Technology Laboratory, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Ma, Shuyan]Multimedia and Intelligent Software Technology Laboratory, Beijing University of Technology, Beijing 100022, China
[ 4 ] [Guo, Jintong]Multimedia and Intelligent Software Technology Laboratory, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address：

Email：

wangke@emails.bjut.edu.cn

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Related Keywords：

Face animation parameters extraction and driving
2004，IEEE International Symposium on Communications and Information Technologies: Smart Info-Media Systems, ISCIT 2004
3D face animation based on morphable model
2005，Journal of Information and Computational Science
Basic face animation mode extraction by ICA
2004，IEEE International Symposium on Communications and Information Technologies: Smart Info-Media Systems, ISCIT 2004
Visual speech synthesis based on learning model
2009，Journal of Beijing University of Technology

Source ：

Journal of Information and Computational Science

ISSN： 1548-7741

Year： 2005

Issue： 1

Volume： 2

Page： 147-150

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 5

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

建筑与城市规划学院本学院/部未明确归属的数据

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